jailcd2024016: Global Sensitivity Analysis of Rural Tourism Building Performance

Abstract

Morphological design has significant impacts on performance of rural tourism buildings (RTBs). Multi-objective optimization has been practiced for a typical RTB form in Tianjin, China to explore RTB design with better energy load, indoor daylighting and thermal comfort performance. However, making decisions from the solution set is still a challenging task for decision-makers. So post-optimization analysis is conducted through global sensitivity analysis (GSA) on the platform of R studio. Firstly, strong correlation relationships are discovered among design parameters by Spearman and partial correlation coefficients methods. Afterwards, Genizi and random forest-based cforest methods are adopted for GSA towards different performance. Finally, it's found that the depth of frequently used space has significant impacts on annual, cooling and heating load, and daylighting of RTBs. The height of skylight is key important parameter for both cooling and daylighting, and the width as well as the window to wall ratio of the heating space in winter have important influence on winter thermal comfort performance. Overall, the framework and methodology for GSA in post-optimization phase is put forward. The influential mechanism of morphological design parameters on energy load, daylighting and thermal comfort performance of RTB is explored on basis of the multi-objective optimization solution set.